What skills should a data analyst resume list?

SQL and a scripting language like Python or R, a BI tool such as Tableau or Power BI, and spreadsheet and warehouse experience. Group them so ATS and recruiters can match the exact stack named in the job posting quickly.

How do I show impact rather than tasks?

Pair each analysis with the decision or money it influenced — for example built a churn model that cut churn 9%, or a dashboard that saved finance 10 hours a week. Impact bullets separate strong analyst resumes from lists of tools used.

Should I mention the size of data I worked with?

Yes where it is impressive — millions of rows, multiple sources joined, or a specific warehouse like Snowflake or BigQuery. It signals you can handle real production data, which hiring managers screen for.

Is my data kept private?

Yes. The builder runs entirely in your browser and sends nothing to any server, so your contact details and work history stay on your device.

What if I am an entry-level analyst?

Lead with your strongest skills and any portfolio or capstone projects. Describe each project as a business question, the analysis, and the result, and link a GitHub or Tableau Public profile so reviewers can see your work.

Data Analyst Resume Builder

Email me this result

Get this tool's output sent to your inbox, plus one useful tool a week. No spam, unsubscribe any time.

A data-analyst resume must show both technical depth and business impact. This builder structures the sections recruiters and ATS expect — a clear technical skills block, impact-driven experience, and education — and exports clean Markdown or plain text.

How it works

The tool assembles your inputs into a layout that puts your stack and your impact front and centre. The skills section is grouped so screeners can match languages, BI tools, and platforms. Each experience box converts one line into one bullet, and the strongest bullets pair an analysis with its outcome:

## Experience
### Data Analyst — Acme — 2022–present
- Built a churn model in Python that cut churn 9% (~1.2M ARR saved)
- Automated weekly exec dashboard in Tableau, saving 10 hrs/week

Datasets and platforms can be named to show you have worked with real, production-scale data rather than toy examples.

Tips and example

Group skills: SQL and languages, BI tools, warehouses, and statistics.
Pair every analysis with its decision or dollar impact — that is the headline.
Name the data scale and platform (millions of rows, Snowflake, BigQuery).
Link a portfolio: GitHub, Tableau Public, or a notebook gallery.
For entry level, lead with capstone or portfolio projects framed as outcomes.